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The paper argues that the increasing demand for climate services requires an interdisciplinary approach that incorporates anthropology to examine the human dimensions of how climate information is produced and used. It suggests that systematic reflection on knowledge production practices is essential for developing a more participatory and broader science.

The study tests the Tandem framework—a non-prescriptive guide for co-designing climate services—in Indonesia, Sweden, and Colombia. The authors found the framework effective in transforming climate information from 'useful' to 'usable' by building trust and institutional embedding. Based on these cases, the framework was enhanced to better incorporate vulnerability scoping, social equity, traditional knowledge, governance scales, and impact indicators.

The document outlines strategic recommendations for Lebanon's early-stage National Adaptation Plan (NAP) process, drawing on experiences from 12 peer countries. It emphasizes the need for strong institutional leadership, the prioritization of low-cost catalytic actions for implementability, and the blending of public and private finance. Key recommendations include establishing a multistakeholder coordination mechanism, integrating gender equality and social inclusion, and developing a robust monitoring, evaluation, and learning (MEL) system. The analysis highlights specific examples, such as Albania's Inter-Ministerial Working Group and Bosnia and Herzegovina's municipal financing tools, to guide Lebanon in creating a science-based, inclusive, and implementable adaptation strategy.

The document outlines insights from the FRACTAL and FRACTAL-Plus projects, arguing that climate services should transition from a product-driven focus to a process-driven approach centered on decision-making needs, learning, and relationship-building.

The ClimVis Europe pilot project identifies a significant gap between the production of complex climate data and its usability for non-expert decision-makers and educators in Europe. Through surveys and focus groups across six countries, the project found that existing tools often exclude users due to a lack of native-language options—particularly in Eastern Europe and Russia—and a failure to link real-time extreme weather events with long-term climate trends. The findings advocate for the co-development of intuitive, multilinguistic tools that provide necessary context to support climate risk reduction and adaptation strategies.

The document evaluates the application of the SEI Tandem framework through a two-year project in Edem Ani, Enugu State, Nigeria. It identifies gaps in local climate information, such as the lack of soil maps and meteorological equipment, and suggests improvements to the framework, including better identification of beneficiaries and increased focus on policy coherence across government levels.

The Tandem framework addresses the 'usability gap' in climate services by shifting from provider-led to collaborative, transdisciplinary co-design. It outlines a seven-step iterative process—ranging from identifying adaptation challenges to maintaining the service—supported by cross-cutting components like sustainable financing and capacity building. The framework is illustrated through an urban water security case study in Lusaka, Zambia, where co-produced hydrological models helped stakeholders assess water demand against climate scenarios.

The research finds that land resource managers in Scotland do not directly account for high-end climate change (HECC) scenarios—defined as global temperature increases over 4°C—because they perceive these outcomes as having a low probability of occurrence. Instead, decision-makers prioritise incremental solutions driven by non-climate factors, which are often as or more important than climate change. While general climate uncertainty is not seen as a barrier, there is a stated need for more information regarding specific sectoral and cross-sectoral impacts under HECC scenarios.

The report advocates for a shift from 'science-first' to 'policy-first' (or 'decision-first') adaptation methods, which prioritise development objectives and immediate policy windows over purely model-driven impact assessments. This approach is illustrated through a case study in Rwanda, where climate information was integrated into the Agriculture Sector Investment Plan (ASIP2) specifically for the tea and coffee sectors. The process involved identifying policy entry points, assessing current and future climate risks—such as rising temperatures and rainfall variability—and sequencing interventions into low-regret options, land-use planning, and early planning for future risks like pests and diseases. The report emphasises that for adaptation to be successful, it must be linked to specific financing sources, such as Rwanda's national climate and environment fund (FONERWA), and include iterative evaluation and learning mechanisms.

The IAI activities plan for 2011-2012 focuses on renewing its training and scientific programs, including the launch of a new series of Training Institutes and the potential establishment of a Centre of Excellence on water security. Key initiatives include a MacArthur Foundation-funded project on biodiversity in the Tropical Andes and a renewed internship agreement with INPE/CPTEC. The document also notes a need for greater operational stability within the IAI Directorate to manage increasing workloads.

The author contends that 'perfect' information does not exist and that adaptation decisions require 'decision-relevant' information rather than just accurate data. This information must align with the geographical scale and timeframes of specific policy and investment schedules while remaining scientifically credible. The paper highlights that information needs vary depending on whether the goal is identifying vulnerabilities, setting priorities, or evaluating post-implementation outcomes. To avoid the 'barrier to decision making' created by an abundance of data, the author advocates for a joint responsibility where providers and users engage in a continuous learning process to tailor information to the specific needs of the decision-making community.

The author identifies five key functions for CSOs to promote the inclusion of climate risks in policy: improving public access to climate information, advocating for vulnerable groups, promoting accountability, supporting inclusive disaster risk reduction, and participating in inter-institutional coordination. The paper highlights that in developing countries, particularly Andean nations, local-level climate data is often scarce or inaccessible, and policy tends to favor high-GDP sectors over the most vulnerable small-scale producers. It argues that CSOs can bridge the gap between research institutions and the public and use community monitoring to ensure adaptation resources are distributed equitably.

The document is a character profile for a simulation game featuring an elderly woman in Ethiopia. It outlines her vulnerabilities to drought, specifically the loss of rental income from tenant farmers and unreliable family remittances, while highlighting her interest in climate information for agricultural productivity and heatwave health protection.

The document describes a transdisciplinary workshop activity aimed at creating a "level playing field" of knowledge by clarifying often-misunderstood climate terms. It outlines a process where participants categorize statements to distinguish between weather, climate, adaptation, mitigation, disaster risk reduction, and development. The briefing highlights benefits such as increased receptivity to climate science and improved stakeholder ability to articulate information needs, illustrated by a case study in Windhoek, Namibia, where the activity supported the development of the city's first Climate Change Strategy and Action Plan.

The document examines two projects implemented by Development Alternatives in India's Bundelkhand region to analyze how various data sources—including climate projections and environmental monitoring—are used in agricultural adaptation decision-making and the challenges associated with this process.